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Vladimir SolovyevVS

Vladimir Solovyev

Avaloq Consultant

1 100 €/jour
Zurich, CH
3-7 ans

Délai de réponse moyen : 1h

À propos de Vladimir

Highly motivated and analytically driven consultant with a solid academic foundation in quantitative finance and economics, complemented by practical experience in Avaloq, risk management, data analysis, and financial reporting. Brings strong expertise in applying quantitative methods to financial data to deliver impactful insights and solutions.
  • Anglais

    Bilingue ou natif

  • Allemand

    Capacité professionnelle limitée

  • Espagnol

    Notions

  • Russe

    Bilingue ou natif

Accepte de travailler sur site
Zurich (jusqu’à 50 km)

Expériences

  • ON-POINT Connect
    Consultant
    août 2024 - Aujourd'hui (1 an et 10 mois)
    40 Düsseldorf, Germany
    • Business analysis of requirements and direct coordination with clients on the solution design
    • Development, testing of Core Banking Systems functionality via Avaloq Script, SQL database
    • Business testing design and execution in Avaloq Interface, Oracle SQL, Regnology
    • Management of end-to-end delivery of project modules
    • Ensuring cross-department alignment, timely development, and successful system integration
    Avaloq SQL Reporting Project Management Agile method
  • BBVA Switzerland
    Risk Department, Intern
    juillet 2022 - juillet 2023 (1 an)
    Zürich, Switzerland
    • Conducted liquidity risk (LCR) and funding structure analysis at portfolio level using Refinitv
    • Assessed IRRBB impact on economic value and NII under scenario stress testing
    • Performed credit risk analysis and maintained loan portfolio control via Avaloq
    • Deployed risk management reports (FX bank exposure, settlement risk)
    • Optimized existing reporting processes through Python-based automation
    • Provided consultation on operational risk matters
    Risk Management Python automation
  • Sberbank
    Intern
    juillet 2020 - juillet 2021 (1 an)
    Moscow, Russia
    • Evaluated internal processes for optimization using machine learning algorithms
    • Supported cross-functional teams with data analysis and documentation
    artificial intelligence Business analysis

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Formations

  • Joint Degree MSc
    ETH Zürich. University of Zürich (UZH)
    2024
    Magna cum laude (GPA: 5.3/6.0) Master thesis – Enhancing Portfolio Allocation through Sentiment Analysis Portfolio Management Programme – Investment strategy research, backtesting, implementation. Presentation of risk/return and performance attribution results to academia and industry experts
  • Dual degree BSc
    Higher School of Economics (HSE). University of London (London School of Economics)
    2021
    International College of Economics and Finance First-Class Honours, top 10% of the class (GPA: 4.7/5.0) Merit-based scholarship

Certifications

Catégories